Study on evolution of a predator–prey model in a polluted environment
Articles
Bing Liu
Anshan Normal University
https://orcid.org/0000-0002-3841-5469
Xin Wang
Anshan Normal University
Le Song
Anshan Normal University
Jingna Liu
Anshan Normal University
Published 2021-11-01
https://doi.org/10.15388/namc.2021.26.24148
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Keywords

pulse pollution
quantitative trait model
evolutionary singularity strategy
continuously stable
evolutionary branching

How to Cite

Liu, B. (2021) “Study on evolution of a predator–prey model in a polluted environment”, Nonlinear Analysis: Modelling and Control, 26(6), pp. 1052–1070. doi:10.15388/namc.2021.26.24148.

Abstract

In this paper, we investigate the effects of pollution on the body size of prey about a predator–prey evolutionary model with a continuous phenotypic trait in a pulsed pollution discharge environment. Firstly, an eco-evolutionary predator–prey model incorporating the rapid evolution is formulated to investigate the effects of rapid evolution on the population density and the body size of prey by applying the quantitative trait evolutionary theory. The results show that rapid evolution can increase the density of prey and avoid population extinction, and with the worsening of pollution, the evolutionary traits becomes smaller gradually. Next, by employing the adaptive dynamic theory, a long-term evolutionary model is formulated to evaluate the effects of long-term evolution on the population dynamics and the effects of pollution on the body size of prey. The invasion fitness function is given, which reflects whether the mutant can invade successfully or not. Considering the trade-off between the intrinsic growth rate and the evolutionary trait, the critical function analysis method is used to investigate the dynamics of such slow evolutionary system. The results of theoretical analysis and numerical simulations conclude that pollution affects the evolutionary traits and evolutionary dynamics. The worsening of the pollution leads to a smaller body size of prey due to natural selection, while the opposite is more likely to generate evolutionary branching.

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